Signal Processing, Sensor Fusion, and Target Recognition XV

With the advent of the world-wide web, social media, and mobile communications, there are numerous sources for human-based soft reports (e.g. textual and voice communications) that can augment traditional hard physicsbased sensing (e.g. video and weather maps. Combining the information can be cross-cueing, alerting, and simultaneous displays. Merely presenting the data would overload the human processing limits, so there is a need for more fundamental assessment of how to combine and link the hard and soft information. One commonality of the challenges is developing a shared ontology that enables a combination of the various sources of structured and unstructured data. Using such an ontology might enable a solution to the operational hard-soft data challenges of data/information source (1) registration in a common coordinate system, (2) correlation of information in data bases, (3) association through ontology alignment, (4) characterization with standard metrics, and (5) collection, presentation, and manipulation to support user’s needs for uncertainty reduction and situational awareness extension.

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